Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
12
10.18260/1-2--41128
https://peer.asee.org/41128
706
Ed Gehringer is a professor in the Computer Science department at North Carolina State University, and an affiliated faculty member of the Electrical and Computer Engineering Department. He received his Ph.D. from Purdue University. His research areas are advanced learning technologies and software engineering. His teaching areas are software engineering and computer architecture.
In recent years, two trends have combined to cause engineering faculty to look for better ways to assign homework. The first is the Science of Teaching and Learning (SoTL) and its emphasis on the role of metacognition in learning. The second is the growth of online answer sites like Chegg and CourseHero, which allow students to get answers to homework without actually doing the problems. Over the past decade, several approaches have been devised to deal with the fallout. They typically have students submit homework twice: the first time to provide their answers to problems, and the second time to engage in some reflective activity comparing their approach or their answers with solutions provided by the instructor. This study identifies 14 such approaches, looks at what they have in common and how they differ, and summarizes their research findings.
Gehringer, E. (2022, August), Metacognitive Strategies for Homework Grading: Improving Learning while Saving Time and Decreasing Cheating Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41128
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